Digitized hospital bed monitoring network system

Abstract

The invention provides a digital sickbed monitor network system which is equipped with a computer inpatient area working station connected with a center working station, the inpatient area working station connects with a local body area network, the body area network is composed of a sickbed unit and a bedside working station, the sickbed unit is equipped with an elastic mattess (1), the mattess contains at least two ventilated vertical partition mattess bodies, adjacent side walls (11a, 12a) of two partition mattess bodies (11,12) are closed, two bottom mattess surfaces (11b, 12b) connect each other, an input end of the bedside working station connects with an output end of a sensor that can detect human body physiological parameter, the sensor includes at least two body sensors (21, 22)covered on the elastic mattess, the body sensor is a sealing elastic body filling with fluid, an elastic body pressure sensing element, the bedside working station is equipped with a monitor display device. The system can reduce physiology and psychological burden of a tested that the digital sickbed monitor network system can process monitor to the patient with long time continuously.

Description

Digital hospital bed monitoring network system technical field The invention belongs to a medical clinical monitoring device, in particular to a digital hospital bed monitoring network system. Background technique The treatment of hospitalized patients by traditional methods often requires patients to be individually inspected, tested and monitored by various medical equipment in the ward. Low efficiency. With the development of modern medicine, it is increasingly necessary for medical staff to pay close attention to every detail of the patient's medical treatment process, and to obtain various physiological information of the patient in the first time, so as to provide high-quality clinical services for the patient. However, various traditional tests will cause a heavy physical burden to patients, and the quality of medical records is difficult to control, and the information in the diagnosis and treatment process will be incomplete due to omissions, which will affect the...

AI Technical Summary

Problems solved by technology

The treatment of hospitalized patients by traditional methods often requires patients to be individually inspected, tested and monitored by various medical equipment in the ward. Low efficiency. With the development of modern medicine, it is increasingly necessary for medical staff to pay close attention to every detail of the patient's medical treatment process, and to obtain various physiological information of the patient in the first time, so as to provide high-quality clinical services for the patient. However, various traditional tests will cause a heavy physical burden to patients, and the quality of medical records is difficult to control, and the information in the diagnosis and treatment process will be incomplete due to omissions, which will affect the correct diagnosis and treatment of patients' conditions by medical staff.

In recent years, with the construction and improvement of hospital information systems, many hospitals have begun to establish clinical information systems, but the focus is still on subjective information such as doctor's order management and disease course records. In terms of nursing efficiency, such as reducing the physical and psychological burden of patients in the process of being tested and monitored, and making patients feel more comfortable in being tested and monitored, there are still many problems that need to be improved. For example, 200410086483.8 discloses a digital The medical information monitoring network of the whole ward uses an airbag mattress for the hospital bed. The airbag mattress is not only used to support the weight of the human body, but also used as a sensor to sense the patient's body movement signal. Because the closed airbag is airtight , so it is very uncomfortable to lie on it for a long time

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